Berwin A Turlach wrote:
> Did you think of trying some variations of "na.strings"? ;-)
>
> IMO, the simplest way of coding missing values in CSV files is to have
> two consecutive commas; not some code (whether NA, 99, 999, -1, ...)
> between them.
Yes. Arguably, na.strings=NULL should be the d
G'day Ted,
On Sun, 18 Jul 2010 09:25:09 +0100 (BST)
(Ted Harding) wrote:
> On 18-Jul-10 05:47:03, Suresh Singh wrote:
> > I have a data file in which one of the columns is country code and
> > NA is the
> > code for Namibia.
> > When I read the data file using read.csv, NA for Namibia is being
>
On 18-Jul-10 05:47:03, Suresh Singh wrote:
> I have a data file in which one of the columns is country code and NA
> is the
> code for Namibia.
> When I read the data file using read.csv, NA for Namibia is being
> treated as
> null or "NA"
>
> How can I prevent this from happening?
>
> I tried th
Hi Suresh,
I think you will need to use read.table() rather than the read.csv()
wrapper for it. Try:
input <- read.table(file = "padded.csv", sep = ",", header = TRUE,
na.strings = NULL)
HTH,
Josh
On Sat, Jul 17, 2010 at 10:47 PM, Suresh Singh wrote:
> I have a data file in which one of the
I have a data file in which one of the columns is country code and NA is the
code for Namibia.
When I read the data file using read.csv, NA for Namibia is being treated as
null or "NA"
How can I prevent this from happening?
I tried the following but it didn't work
input <- read.csv("padded.csv",h
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